Triple

T10157983
Position Surface form Disambiguated ID Type / Status
Subject RFC 6120 E233818 entity
Predicate usesMechanism P1687 FINISHED
Object SASL E233817 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SASL | Statement: [RFC 6120, usesMechanism, SASL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SASL
Context triple: [RFC 6120, usesMechanism, SASL]
  • A. SASL chosen
    SASL (Simple Authentication and Security Layer) is a framework for adding modular authentication and optional data security services to connection-based network protocols.
  • B. SCRAM-SHA-256
    SCRAM-SHA-256 is a modern, secure password-based authentication mechanism that uses the SHA-256 hash function within the SCRAM protocol to provide strong protection against credential theft and replay attacks.
  • C. SCRAM-SHA-1
    SCRAM-SHA-1 is a password-based authentication mechanism that uses salted challenge–response hashing with SHA-1 to securely verify users without transmitting their plaintext passwords.
  • D. Secure Authentication Version 5
    Secure Authentication Version 5 is a security enhancement for the DNP3 protocol that provides robust authentication and protection against unauthorized control and cyber attacks in industrial control systems.
  • E. Kerberos
    Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5507f08190b47f797bacd5640c completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3176ac9388190bc76b3cffce93a3d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.